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American Express
American Express
B2BBankingFinance
American Express is a global financial services company operating across banking, finance, and B2B payments. Its business includes consumer, business, and corporate credit cards; payment and merchant services; savings accounts, certificates of deposit, and personal loans; as well as rewards, travel programs, corporate payment solutions, financial education, security services, and cardmember and merchant support.
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Senior Staff AI Engineer - London Hybrid

Lead the architecture of secure, scalable agentic AI platforms at American Express in a senior staff engineering role. Set enterprise AI direction across infrastructure, governance, platform reliability, and engineering standards.

GBUnited KingdomHybridFull-timeSeniorEnglish RequiredAI EngineerMachine Learning Engineer
CloudCyber SecurityDistributed SystemsKubernetesMicroservicesPythonPyTorchScikit-LearnTensorflow

Description

  • Act as a senior technical authority for enterprise AI systems with major strategic and long-term business impact.
  • Establish architecture and engineering patterns for agentic AI, retrieval and grounding, model integration, inference platforms, observability, evaluation, and safety.
  • Resolve complex, ambiguous technical challenges while balancing performance, cost, scalability, security, safety, and regulatory constraints.
  • Define long-term AI engineering strategy across platforms, tools, and system design approaches.
  • Coordinate multiple cross-team AI initiatives to maintain architectural coherence, integration, and alignment across domains.
  • Lead technical and architectural reviews while setting standards for engineering excellence and consistent implementation.
  • Collaborate with Product, Data Engineering, Cloud Infrastructure, Architecture, Risk, and Cybersecurity leaders to align AI solutions with enterprise priorities and governance requirements.
  • Assess emerging AI technologies and turn them into scalable, enterprise-ready capabilities.
  • Mentor Staff and Senior Engineers to strengthen organizational capability and develop future technical leaders.

Requirements

  • A preferred MS or PhD in artificial intelligence, machine learning, computer science, or a related discipline.
  • Deep expertise in machine learning and deep learning systems, including model architecture, training, evaluation, and optimization.
  • Advanced knowledge of generative AI and LLM ecosystems, including embeddings, fine-tuning, prompt design, retrieval-augmented generation, and large-scale inference.
  • Strong understanding of AI infrastructure, including GPU platforms, accelerated computing, workload scheduling, capacity optimization, model serving, and inference performance.
  • Advanced knowledge of agentic AI design, including planning, reasoning, tool use, memory, multi-agent coordination, and autonomy controls.
  • Strong foundation in distributed systems, cloud-native architecture, Kubernetes, APIs, microservices, event-driven design, observability, and platform reliability.
  • Knowledge of DevOps and CI/CD platforms such as Harness, including automated deployment, environment promotion, governance, and operational controls.
  • Knowledge of enterprise AI governance, including model risk management, explainability, bias detection, safety, and regulatory compliance.
  • At least 12 years of experience in AI/ML engineering, AI infrastructure, platform engineering, data engineering, or related fields.
  • A track record of delivering complex production systems at scale.
  • Proven ability to architect end-to-end AI/ML platforms spanning data pipelines, training, deployment, serving, monitoring, and inference optimization.
  • Experience designing and operating GPU-based AI infrastructure, including accelerated computing platforms, workload scheduling, utilization optimization, capacity management, and performance tuning.
  • Experience with cloud-native and Kubernetes-based platforms for training, batch workloads, inference, orchestration, observability, reliability, and cost efficiency.
  • Hands-on experience with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, and related tooling.
  • Deep experience building agentic AI systems involving planning, tool use, memory, evaluation, retrieval, embeddings, vector databases, and agent frameworks.
  • Experience leading complex cross-functional technical initiatives and influencing architecture and engineering direction across teams without direct authority.
  • Demonstrated ability to mentor and develop engineers at all levels, including Staff-level engineers.
  • Experience in regulated environments such as financial services, including AI governance, risk management, and compliance considerations.
  • Eligibility to work for American Express in the UK is required; visa sponsorship will not be pursued.

Benefits

  • Competitive base salary.
  • Bonus incentives.
  • Support for financial well-being and retirement.
  • Comprehensive medical, dental, vision, life insurance, and disability benefits, depending on location.
  • Flexible working arrangements, including hybrid, onsite, or virtual options depending on the role and business need.
  • Generous paid parental leave policies, depending on location.
  • Free access to global onsite wellness centers staffed by nurses and doctors, depending on location.
  • Free, confidential counseling through the Healthy Minds program.
  • Career development and training opportunities.

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